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Memetic Algorithms

2020
Walt Truszkowski   +3 more
openaire   +2 more sources

Handbook of Memetic Algorithms

2012
Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operators evolves and promotes the diffusion of the most successful units and generates an algorithmic behavior which can handle complex objective functions and ...
openaire   +1 more source

Memetic Algorithms

2023
Jin-Kao Hao, Xiangjing Lai
openaire   +1 more source

Towards Robust Memetic Algorithms

2006
This chapter reports the results of Multimeme algorithms that employ adaptive helpers. A Multimeme Algorithm resorts to a variety of local search neighborhoods for its local search stage allowing for a more robust global search. Each neighborhood is explored by an adaptive helper that allows non-improving moves that render the Memetic algorithm even ...
openaire   +1 more source

Memetic Algorithms in Continuous Optimization

2012
Intuitively, a set is considered to be discrete if it is composed of isolated elements, whereas it is considered to be continuous if it is composed of infinite and contiguous elements and does not contain “holes”.
Cotta, Carlos, Neri, Ferrante
openaire   +2 more sources

Memetic Algorithms

2006
Natalio Krasnogor   +2 more
openaire   +2 more sources

Noisy intermediate-scale quantum algorithms

Reviews of Modern Physics, 2022
Kishor Bharti   +2 more
exaly  

Variational quantum algorithms

Nature Reviews Physics, 2021
Marco Cerezo   +2 more
exaly  

Memetic Algorithms

2004
Pablo Moscato   +2 more
openaire   +1 more source

Quantum Information and Algorithms for Correlated Quantum Matter

Chemical Reviews, 2021
Kade Head-Marsden   +2 more
exaly  

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